Publications of CM Wu

Cogliati Dezza, I.; Wu, C.; Schulz, E.: The Drive for Knowledge: The Science of Human Information-Seeking. Cambridge University Press, Cambridge, UK (2022), 292 pp.

Cogliati Dezza, I.; Schulz, E.; Wu, C.: Future challenges. In: The drive for knowledge: The science of human information seeking, pp. 279 - 290 (Eds. Cogliati Dezza, I.; Schulz, E.; Wu, C.). Cambridge University Press, Cambridge, UK (2022)

Zhou, H.; Besch, B.; Wu, C.; Gerstenberg, T.: Effective Explanations Support Planning Under Uncertainty. In: Proceedings of the 48th Annual Conference of the Cognitive Science Society. 48th Annual Meeting of the Cognitive Science Society (CogSci 2026), Rio de Janeiro, Brazil, July 22, 2026 - July 25, 2026. (submitted)

Orujlu, T.; Gumbsch, C.; Butz, M.; Wu, C.: Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem. In: Proceedings of Machine Learning Research, Vol. 323. 5th Conference on Causal Learning and Reasoning (CLeaR 2026), Cambridge, MA, USA, April 06, 2026 - April 08, 2026. JMLR, Cambridge, MA (2026)

Nagy, D.; Shen, K.; Zhou, H.; Wu, C.; Dayan, P.: Analogy making as amortised model construction. In: Finding the Frame Workshop at RLC 2025. Finding the Frame Workshop at RLC 2025, Edmonton, AB, Canada, August 05, 2025. (2025)

Zhou, H.; Mantiuk, F.; Nagy, D.; Wu, C.: Agent-centric learning: from external reward maximization to internal knowledge curation. In: Finding the Frame Workshop at RLC 2025. Finding the Frame Workshop at RLC 2025, Edmonton, AB, Canada, August 05, 2025. (2025)

Dettki, H.; Lake, B.; Wu, C.; Rehder, B.: Do Large Language Models Reason Causally Like Us? Even Better? In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 1837 - 1843 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)

Mantiuk, F.; Zhou, H.; Wu, C.: From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 2398 - 2405 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)

Szőcs, O.; Zhou, H.; Wu, C.: The Forest for the Trees: Global vs. Local Advice in Human-AI Interaction. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 969 - 976 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)

Witt, A.; Palminteri, S.; Wu, C.: Flexibly biased learning rates in social learning. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 4378 - 4384 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)

Orujlu, T.; Gumbsch, C.; Butz, M.; Wu, C.: Reframing attention as a reinforcement learning problem for causal discovery. In: The Causal Reinforcement Learning Workshop (CRLW 2025). The Causal Reinforcement Learning Workshop (CRLW 2025) @ RLC 2025, Edmonton, Alberta, Canada, August 05, 2025. (2025)

Hamidi, M.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Levina, A.; Wu, C.: Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. 2024 Conference on Artificial Life, Copenhagen, Denmark, July 22, 2024 - July 26, 2024. (2024)

Wong, E.; Hauser, T.; Pietrini, P.; Wu, C.: Shock to Thrill: Linking Sensation and Information Seeking. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), pp. 2096 - 2104 (Eds. Frank, S.; Toneva, M.; Mackey, A.; Hazeltine, E.). 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), Rotterdam, the Netherlands, July 24, 2024 - July 27, 2024. (2024)

Zhou, H.; Nagy, D.; Wu, C.: Harmonizing Program Induction with Rate-Distortion Theory. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), pp. 2511 - 2518 (Eds. Frank, S.; Toneva, M.; Mackey, A.; Hazeltine, E.). 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), Rotterdam, the Netherlands, July 24, 2024 - July 27, 2024. (2024)

Brändle, F.; Schulz, E.; Wu, C.: Learning progress and uncompensated rewards as motivational drivers of engagement. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.114, pp. 832 - 835. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Hamidi, M.; Bányai, M.; Wu, C.: One bottleneck is not enough. In: 2023 Conference on Cognitive Computational Neuroscience, P-2B.44, pp. 795 - 798. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Rubino, V.; Dayan, P.; Wu, C.: Biases towards compositionally simpler hypotheses are robust and unaffected by learning. In: 2023 Conference on Cognitive Computational Neuroscience, P-2B.50, pp. 817 - 820. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Xiong, Y.; Wu, C.; Moneta, N.; Banyai, M.: Selective memory for reward-relevant features is modulated by expertise during reward learning. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.87, pp. 733 - 736. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Rubino, V.; Hamidi, M.; Dayan, P.; Wu, C.: Compositionality under time pressure. 45th Annual Meeting of the Cognitive Science Society (CogSci 2023), Sydney, Australia, July 26, 2023 - July 29, 2023. Proceedings of the Annual Meeting of the Cognitive Science Society 45, pp. 678 - 685 (2023)

Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, pp. 2940 - 2946 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)